# All Employees: Food Services and Drinking Places — GA (statewide) (NSA)

All Employees: Food Services and Drinking Places — GA (statewide) (NSA) was down 0.2% year on year in September 2026, compared with −0.6% in August 2026.
The level stood at 403.9 thousands.
Over the past ten years it has ranged from −41.1% (Apr 2020) to 51.5% (Apr 2021), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-GA.PAYEMS.M.NSA.IND-70722000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-food-services-and-drinking-places-ga-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 403.9 thousands | −0.2 |
| August 2026 | 408.1 thousands | −0.6 |
| July 2026 | 410.4 thousands | 0.05 |
| June 2026 | 414.6 thousands | 0.7 |
| May 2026 | 414.7 thousands | 0.02 |
| April 2026 | 408.6 thousands | −0.1 |
| March 2026 | 401.9 thousands | −0.5 |
| February 2026 | 400.9 thousands | 0.02 |
| January 2026 | 401.6 thousands | 1.7 |
| December 2025 | 404.2 thousands | −1.1 |
| November 2025 | 407.8 thousands | 0.4 |
| October 2025 | 406.0 thousands | 0.6 |
| September 2025 | 404.9 thousands | 0.4 |
| August 2025 | 410.5 thousands | 0.9 |
| July 2025 | 410.2 thousands | 0.5 |
| June 2025 | 411.6 thousands | −0.5 |
| May 2025 | 414.6 thousands | −0.05 |
| April 2025 | 409.2 thousands | −0.3 |
| March 2025 | 404.0 thousands | 0.07 |
| February 2025 | 400.8 thousands | 1.0 |
| January 2025 | 394.8 thousands | −0.1 |
| December 2024 | 408.8 thousands | 1.2 |
| November 2024 | 406.2 thousands | 0.4 |
| October 2024 | 403.4 thousands | −0.10 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-GA.PAYEMS.M.NSA.IND-70722000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-GA.PAYEMS.M.NSA.IND-70722000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```